Bioinformatics and Virtual Machineshttp://moodle.ifr.ac.uk/moodle/course/view.php?id=5https://tess.elixir-europe.org/materials/bioinformatics-and-virtual-machinesWe introduce the concept of the virtual machine, what they can be used for and the advantages and disadvantages of using them.Mark FernandesVM, IFR, Institute of Food Research, Quadram Institute, Bioinformatics

This is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.

Keywords: RNA-Seq, IFR, Institute of Food Research, Quadram Institute

IFR Dockerised version of the EBI's Introduction to RNA-seq coursehttps://hub.docker.com/r/foodresearch/ifr_rnaseq_course/https://tess.elixir-europe.org/materials/ifr-dockerised-version-of-the-ebi-s-introduction-to-rna-seq-courseThis is basically the EBI RNA-seq course bundled up in a Docker container using LXDE via TightVNC to provide a graphical environment. The material has been repackaged to use an Ipython Notebook as the learning environment which can be annotated by the learner.Mark Fernandes RNA-Seq, IFR, Institute of Food Research, Quadram Institute

This lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods...

Keywords: Statistical-model, Exploratory-analysis

Exploratory analysis and downstream analysishttps://microasp.upsc.se/ngs_trainers/Materials/tree/master/Content/RNA-Seq/Charlotte_Soneson/downstream_analysis_lecture_2015.mdhttps://tess.elixir-europe.org/materials/exploratory-analysis-and-downstream-analysisThis lecture gives an overview of exploratory analysis (clustering) and supervised analysis (prediction/classification), as well as visualization methods (heatmaps/PCA) and gene set analysis. It also shows how to transform count data to make it more suitable to apply the traditional methods developed (e.g.) for microarray data.Charlotte Soneson @charlotte, charlottesoneson@gmail.comStatistical-model, Exploratory-analysis